Search

Xiao-Yu Wang,1– 3,* San-Hua Xu,3,* Hong Wei,3,* Min Kang,3 Jie Zou,3 Qian Ling,3 Hui Huang,3 Xu Chen,4 Yi-Xin Wang,5 Yi Shao,3 Yao Yu1 1Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, Jiangxi, 330006, People’s Republic of China; 2The First Clinical Medical College, Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China; 3Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China; 4Department of Ophthalmology and Visual Sciences, Maastricht University, Maastricht, Limburg Province, 6200MA, Netherlands; 5School of Optometry and Vision Sciences, Cardiff University, Cardiff, CF244HQ, UK*These authors contributed equally to this workCorrespondence: Yi Shao, Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China, Email freebee99@163.com Yao Yu, Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China, Email yuyao1234562023@163.comPurpose: This study aimed to explore the spontaneous brain activity in patients with diabetic optic neuropathy (DON) by using the amplitude of low-frequency fluctuation (ALFF) technique.Methods: Sixteen DON patients and 16 age- and sex-matched healthy controls (HCs) were recruited. ALFF along with functional MRI method was used to detect the intrinsic brain activity alterations. The mean values of ALFF in DON patients and HCs were analyzed by receiver operating characteristic (ROC) curves. Pearson’s correlation analysis was used to determine the correlation between Hospital Anxiety and Depression Scale (HADS) and ALFF values of DONs.Results: The DON group showed significantly increased ALFF values in the fusiform gyrus, and decreased ALFF values in the medial frontal gyrus/left frontal superior orbit/right frontal medial orbit, and left frontal inferior triangle. ROC curve analysis indicated that the accuracy of AUC was good. The anxiety scale and depression scale of the DON group were negatively correlated with the ALFF values of the medial frontal gyrus.Conclusion: DON is a neurodegenerative disease involving multiple brain regions. The abnormal activity of neurons in these brain regions helps to reveal the underlying neural mechanisms of brain activity related to DON.Keywords: ALFF, fMRI, diabetic optic neuropathy, spontaneous brain activity

[Objective] Jiaojia-type gold deposit is a new type of gold mine discovered by Shandong geologists in northwestern Jiaodong in the 1960s, and its output is controlled by regional tectonic fracture zones. Pyrite sericitized alteration generally occurred during the ore-forming period, which is characterized by a large scale, distinct alteration zones, concentration of mineralization, simple morphology of the ore body, relatively uniform grade, and simple mineral combinations. The deposit has gone through 12 years of exploration and scientific research, from discovery to establishment. [Methods] This new type of gold deposit has been rapidly promoted since its establishment and has achieved fruitful prospecting results in China. Deep exploration achievements of the Jiaojia-type gold deposit have been coming up in the Jiaodong area since the 21st century. [Results] The accumulated gold resource reserves submitted have been 3617.12 tons by 2020, which has helped the Jiaodong area become the third largest gold cluster in the world, and gold reserves of China have risen to the second rink in the world. Research on the Jiaojia-style gold mine has also made considerable progress, with the age of mineralization accurately limited to 126~120 Ma and formation occurring under a strong regional extension background. The source of mineralization material has multiple origins, with the Archean tholeiite being the initial source rock of gold-bearing minerals. The ore-forming process is divided into four stages, and the “thermo-extension”metallogenic theory and the step metallogenic model are proposed. The metallogenic depth is about 5~10 km, and the post-metallogenic denudation thickness is 5.2±1.2 km, with the deposits well preserved. [Conclusion] The metallogenic prediction study concluded that the total gold resources in the three major metallogenic zones of Sanshandao, Jiaojia, and Zhaoping in the northwestern Jiaozhou area were 7258~10150 tons of metal at a depth of 5000 m, which demonstrates the immense potential of the deeper part of the Jiaojia-type gold deposits for exploration. A set of key exploration techniques was summarized for different exploration stages, from shallow to deep. [Significance] These studies enriched the metallogenic theory of the Jiaojia-type gold deposit, making the metallogenic prediction results highly accurate, reliable, and effective in guiding the gold exploration in the Jiaodong peninsula.

Abstract Neuroimaging studies have revealed that the mechanisms of auditory hallucinations are related to morphological changes in multiple cortical regions, but studies on brain network properties are lacking. This study aims to construct intra-individual structural covariance networks and reveal network changes related to auditory hallucinations. T1-weighted MRI images were acquired from 90 schizophrenia patients with persistent auditory hallucinations (pAH group), 55 schizophrenia patients without auditory hallucinations (non-pAH group), and 83 healthy controls (HC group). Networks were constructed using the voxel-based gray matter volume and the intra-individual structural covariance was based on the similarity between the morphological variations of any two regions. One-way ANCOVA was employed to compare global and local network metrics among the three groups, and edge analysis was conducted via network-based statistics. In the pAH group, Pearson correlation analysis between network metrics and clinical symptoms was conducted. Compared with the HC group, both the pAH group (p = 0.01) and the non-pAH group (p = 3.56 × 10−4) had lower nodal efficiency of the left medial superior frontal gyrus. Compared to the non-pAH group and HC group, the pAH group presented lower nodal efficiency of the temporal pole of the left superior temporal gyrus (p = 1.09 × 10−3; p = 7.67 × 10−4) and right insula (p = 0.02; p = 8.99 × 10−6), and lower degree centrality of the right insula (p = 0.04; p = 1.65 × 10−5). The pAH group had a subnetwork with reduced structural covariance centered by the left temporal pole of the superior temporal gyrus. In the pAH group, the normalized clustering coefficient (r = −0.36, p = 8.45 × 10−3) and small-worldness (r = −0.35, p = 9.89 × 10−3) were negatively correlated with the PANSS positive scale score. This study revealed network changes in schizophrenia patients with persistent auditory hallucinations, and provided new insights into the structural architecture related to auditory hallucinations at the network level.

Clearly determining the magnitude of fracture pressure is a crucial indicator for fracturing design. Traditional methods for predicting fracture pressure suffer from challenges such as difficulties in obtaining required data, low prediction accuracy, and local limitations in application. In light of these issues, the article proposes a fracture pressure prediction model based on reinforcement learning and XGBoost utilizing geophysical well logging data. Based on the relevance analysis, optimal input parameters, including DEPTH, DEN, AC, GR, CRL, and RT, are selected from geophysical well logging data. We have developed a framework for a fracture pressure prediction model based on XGBoost, wherein hyperparameters are fine-tuned using an improved Q-learning algorithm. The optimized XGBoost model for fracture pressure prediction attains outstanding performance metrics, including an R 2 value of 0.992, a root mean square error of 0.006%, and a mean absolute error of 0.539%. In direct comparison with grid search, Bayesian optimization, and ant colony optimization, the improved Q-learning algorithm emerges as the most effective optimization approach. The predictions generated by the proposed method exhibit remarkable consistency with fracture pressure data measured on-site. This approach successfully addresses the shortcomings encountered with traditional fracture pressure prediction methods, such as inadequate accuracy, demanding data prerequisites, and constrained applicability.

The periodic outbreaks of Acanthaster spp. which are predators of coral, are important reasons for the degradation of coral reefs. Information on the food sources of Acanthaster spp. Would be useful for suppressing outbreaks of the species. Although field observations on the feeding habits of Acanthaster spp., suggest that they feed mainly on corals, no isotopic evidence has been provided to support this. Therefore, this study was conducted to explore the food sources of Acanthaster spp. from the perspective of stable carbon (δ13C) and nitrogen isotopes (δ15N) by analyzing the consistency of the δ13C values of food in the gastric contents and pyloric gut as well as the significance of their δ13C and δ15N values, with the goal being to attain new information for comprehensively understanding or controlling outbreaks of these predators. In March 2020, various Acanthaster spp. were collected from the reef slope of coral reefs in the Xisha Islands, at a water depth of less than 10 m. The sampled individuals were immediately placed in a -20°C refrigerator for transport to the laboratory, after which they were stored in -80°C freezer. The gastric contents and pyloric gut were extracted for measurement of δ13C and δ15N values to investigate the feeding habits of Acanthaster spp. for the first time. The collected individuals were divided into three age groups: sub-adult (10~200 mm diameter), adult (200~350 mm), and senile-adult (>350 mm). The δ13C values of the gastric contents and pyloric gut were -15.03‰~-13.00‰ and -15.21‰~-13.24‰, respectively. The average change in δ13C values (△δ13C) between the gastric contents and pyloric gut were 0.17‰, 0.20‰, and 0.04‰ for the sub-adult, adult, and senile-adult groups, respectively. The results showed the following: (1) The δ13C values of the gastric contents correlated positively with those of the pyloric gut for Acanthaster spp. of different diameters. There were no significant differences in average δ13C values between the gastric contents and pyloric gut. The same correlation trend between the gastric contents and pyloric gut, indicated a similar presentation of feeding habits. Both the gastric contents and pyloric gut can be used for food research; and (2) With increase in the Acanthaster spp. diameter and age, the δ13C values of the gastric contents and pyloric gut showed a decreasing trend. By contrast, the δ15N values of the gastric contents showed an increasing trend, indicating the variable properties of the food ingested. Specifically, the trophic level of the food tended to increase. The food trophic level was relatively low for sub-adults or individuals of a shorter diameter whereas it was relatively high for the larger and older individuals. These study findings provide new reference data for exploring the feeding habits of Acanthaster spp. at different growth phases and understanding the reasons for their outbreaks.

To address fine-grained access control, secure sharing, and encrypted key updates in a one-to-many model, a multi-keyword attribute-based searchable encryption scheme with proxy re-encryption for cloud storage was proposed. The access tree was enhanced with node information for fine-grained control over ciphertext read and write permissions. The keyword encryption process was optimized for trapdoor indistinguishability and restricted user search capabilities. Re-encryption updated ciphertext and keys, preventing malicious access by revoked users. A blockchain-based verification algorithm was designed to detect tampering of third-party data. The DBDH and DDH hard problems proved the scheme’s keyword ciphertext security and trapdoor security. Experiments show the proposed scheme secures data and keys during key generation, trapdoor, and index generation, and correctness verification. It also demonstrates higher efficiency in time overhead, ensuring privacy and key safety while maintaining high efficiency.

Sintering temperature is the key factor affecting the structure and performance of tungsten carbide (WC) ceramics. Thus, the effect of sintering temperature on the microstructure and mechanical properties of WC-Ni-Co coarse grain ceramics, obtained from the mixture containing: 60wt.% of ultra-coarse WC, 30 wt.% of fine WC, 7 wt.% of Co and 3wt.% of Ni powders, was analysed. The mechanical properties of WC ceramics did not change much when the sintering temperature was varied between 1410 and 1430 °C and the comprehensive performances of the ceramics were the best in this temperature range. In order to confirm that the coarse grain WC-Ni-Co ceramics can be applicable for harsh environments, it was compared with the standard WC-Co ceramics of the same grain size, and the reasons and mechanisms for the differences in microstructure and properties between the two ceramics were tested and analysed. The study shows that the average grain size of two ceramics does not differ much, and there are no decarburisation, graphite-phase and other impurity phases inside the ceramics. In addition, the difference in the mechanical properties is also small. However, the addition of Ni effectively improves the corrosion resistance of the WC-Co ceramics. Therefore, WC-Ni-Co can replace WC-Co ceramics as shield cutting tool material with the same grain size.

Purposes The flexible bedding layer and pile cap have great influences on the pile-soil stress ratio, load sharing ratio, and settlement of CFG pile composite foundation, and further research is still needed about how the flexible bedding layer and pile cap jointly affect the characteristics of the composite foundation in field tests. Methods By using a section of CFG pile composite foundation with soft foundation treatment as the engineering background, field in-situ tests were conducted for the combinations of bedding thicknesses of 100, 200 and 300 mm and pile cap size of 0.8, 1.0, and 1.2 m under the control of constant number of geogrid layers to investigate the pile-soil stress ratio, load sharing ratio, and settlement characteristics of CFG pile composite foundation. Findings Field tests show that with the increase of cushion thickness from 100 to 300 mm, pile-soil load ratio decreases by 51.5%, pile-soil stress ratio decreases by 52.5%, and total settlement increases by 7.9%. As the diameter of pile cap increases from 0.8 to 1.2 m, the pile-soil load ratio increases by 29.0%, the pile-soil stress ratio decreases by 29.2%, and the total settlement is 10.4%. For the regional geological conditions in this work, it is advisable to choose the CFG pile composite foundation with cushion thickness of 100 mm and pile cap diameter of 1.2 m.

Abstract A large-scale, high-speed, long-runout landslide occurred in Xinmo Village, Maoxian, Sichuan Province, China, on June 24, 2017. It was characterized by fast sliding speed, rapid volume growth, and large impact area. The dynamic process of such landslides and the influence of erosion on the dynamic process are studied by field investigation, numerical inversion and simulation. The results showed that entrainment erosion was a major factor of landslide volumetric change and a salient feature of the landslide process. An exponential equation relating the erosion rate and the deposition volume was established. Moreover, the study found that a slight change of the erosion rate (1e-4) also had a significant impact on the lateral spreading, longitudinal runout, and vertical erosion. As the erosion rate increased, the lateral spreading, longitudinal runout, and vertical erosion of this type of landslide became more obvious. By using the coefficient of variation method, it was obtained that the erosion rate had a greater influence on the vertical erosion than on the lateral spreading and longitudinal runout. In the study of the velocity of the rock avalanche under different erosion conditions, it was found that the erosion amount and the landslide velocity were not strictly linearly related. This study has important significance for understanding the dynamic process and erosion effect of rock avalanche, and provides useful references and insights for future research in related fields.

Myopia is a common ophthalmic disease that endangers the health of eyes all over the world. The incidence rate of myopia is high in China. Myopia has become the most prominent problem affecting the health of young people's eyes. Myopia prevention and control work has become urgent. Periretinal hyperopia defocusing is one of the main causes of myopia, and the defocusing soft lenses involved based on this principle have played a good role in myopia prevention and control. This article summarizes the working principle of defocusing soft lenses for controlling myopia and its impact on corneal and visual function, and evaluates the prevention and control effect of defocusing soft lenses on myopia based on current research.

ObjectivesThe natural draft cooling towers with flue gas injection (NDCT-FGI) is a crucial retrofitting technique for enhancing the efficiency of thermal power plants. However, its operational impacts on existing systems are significant and cannot be overlooked. Therefore, the current status of NDCT-FGI technology and its problems in operation were analyzed, and the countermeasures were put forward.MethodsThrough comprehensive analysis of the existing research, the causes and formation mechanism of environmental impact, cooling tower corrosion, and deterioration of circulating cooling water quality caused by the technical transformation of NDCT-FGI were discussed.ResultsThe protective distance can be reasonably set by the simulation results of flue gas emission trajectory and pollutant landing concentration by computational fluid dynamics (CFD). Installation of baffles at the tower top can prevent flue gas washdown during the extreme weather conditions. Different anticorrosive coatings are recommended for various parts of the cooling tower to extend its service life. To control and optimize cooling water quality, the advanced water treatment techniques are necessary for optimizing chemical dosing, and the management of effluent and makeup water must be carefully controlled to ensure operational sustainability.ConclusionsBy implementing appropriate and effective countermeasures, the negative impacts of NDCT-FGI retrofitting can be mitigated, thereby enhancing both the environmental and economic benefits for thermal power plants.

Objective The Suzhou–Wuxi–Changzhou region is one of the most severely affected areas by land subsidence, both in China and globally. In the early 1970s, land subsidence occurred and resulted in the formation of ground fissures caused by differential subsidence, thus resulting in significant economic losses. In this century, the rate of ground subsidence has decreased, with some areas experiencing regional ground resilience. The unique developmental history of ground subsidence allows one to comprehensively interpret its evolutionary process and causal mechanisms. This study aims to unravel the life cycle and driving forces of land subsidence in the Suzhou–Wuxi–Changzhou region. Methods To achieve this, a multifaceted approach was employed, including long-term and large-scale monitoring of three-dimensional seepage, stress, and strain, complemented by physical experimental models and numerical simulations. An analysis was conducted to synthesize the macro-evolutionary patterns and causal mechanisms of land subsidence and the formation of ground fissures. Results and Conclusion The findings indicate that land subsidence in the Suzhou–Wuxi–Changzhou region exhibits distinct characteristics that evolve through five discernible stages: initiation, rapid development, deceleration, stagnation, and rebound. The development of land subsidence is intricately connected to groundwater extraction, with stratum deformation arising predominantly from the compaction and dewatering of aquifers and aquitards due to pumping. During the subsidence phase, primary aquifer sand and contiguous aquitards are identified as the primary contributors to subsidence. By dissecting the causal mechanisms of land subsidence and ground fissures, this study delineates the spatiotemporal evolution of the structural compression and rebound of strata under varying conditions of deep groundwater exploitation, restriction, and prohibition, along with their respective contributions to subsidence. Ground fissures, which act as a secondary geological hazard at certain stages of subsidence, exhibit a spatial distribution and occurrence time that are closely related to groundwater levels, land subsidence, bedrock undulations, and soil-layer structural disparities. The life cycle of ground fissures can be encapsulated by the mechanical processes of compression, tension, shearing, and rebound, which highlights the triggers and critical thresholds for fissure formation due to differential subsidence. An integrated “sky–air–ground” monitoring system that can perform full-section fiber-optic monitoring in geological boreholes and amalgamates diverse technical methods is established to obtain scientific and granular data support for land-subsidence control and prevention. Furthermore, an innovative finite-element coupling interface element method customized for regional and site-specific scales is developed. This method successfully simulates the mechanisms of stratum deformation as well as the genesis and propagation of ground fissures under complex three-dimensional geological conditions, thus facilitating the precise identification and management of subsidence and fissure prone areas. Significance This study highlights the government’s land subsidence control measures at various stages, which are characterized by technological innovations such as groundwater extraction restrictions and bans, thus setting a precedent for land subsidence management and groundwater resource stewardship in other provinces and cities across China.

To solve the problems of low security and high resource overhead of existing hidden policy ciphertext policy attribute-based encryption (CP-ABE) schemes, a partially hidden policy multi-authority CP-ABE scheme with constant length ciphertext was proposed. Firstly, the values of the attributes in the access policy were hidden, enabling the proposed scheme to reduce the risk of private data leakage. Secondly, by fixing the ciphertext length and using outsourcing decryption techniques, the resource overhead for the user was reduced in the proposed scheme. Finally, the multi-authority management mechanism was used so that the proposed scheme avoided the key escrow problem that can easily arise when using a single authoritative authority. The security analysis proves that the proposed scheme satisfies the indistinguishability under chosen plaintext attack in the standard model, as well as the scheme’s hidden access policy and the generated outsourcing key can resist attribute value guessing attack. The overall resource overhead of the proposed scheme is proven to be lower by comparing its performance with the existing schemes.

[Objective] Current research mainly focuses on long-term frequency studies in non-karst areas, but there is insufficient research on hydrochemical sampling frequency under different rainfall levels in karst areas Inorder on determining the optimal sampling frequency of hydrochemistry at different rainfall levels in Karst small watersheds. [Methods] Based on high-frequency electrical conductivity (EC) data of different rainfall levels (heavy rainstorm, heavy rain and moderate rain) with a 1 hour interval from June 2022 to July 2023 in the typical Karst small watershed of the central Guizhou Plateau, low-frequency data of 2~15 hours were resampled. Combined with various evaluation indicators and catastrophe point theory, the optimal sampling frequency of hydrochemistry under different rainfall levels in the Karst small watershed was determined. [Results] (1) Due to the influence of geological background, the hydrochemistry response to rainfall in the small watershed of the Karst area is characterized by rapid rise and fall, and the loss of sampling error is large. (2) Factors such as I60 (maximum 60 min rainfall intensity), the number of rain-free days, and the amount of rainfall all impacted the hydrological process, which in turn altered the characteristics of hydrochemical changes and ultimately affected the sampling frequency; (3) It was recommended to use a sampling frequency of 4 hours during heavy rain events, a frequency of 5 hours during moderate rain events when I60>10 mm/h, and 6 hours frequency when I60 was small (I60

Unmeasured confounding is a key challenge for causal inference. In this paper, we establish a framework for unmeasured confounding adjustment with negative control variables. A negative control outcome is associated with the confounder but not causally affected by the exposure in view, and a negative control exposure is correlated with the primary exposure or the confounder but does not causally affect the outcome of interest. We introduce an outcome confounding bridge function that depicts the relationship between the confounding effects on the primary outcome and the negative control outcome, and we incorporate a negative control exposure to identify the bridge function and the average causal effect. We also consider the extension to the positive control setting by allowing for the nonzero causal effect of the primary exposure on the control outcome. We illustrate our approach with simulations and apply it to a study about the short-term effect of air pollution on mortality. Although a standard analysis shows a significant acute effect of PM2.5 on mortality, our analysis indicates that this effect may be confounded, and after double negative control adjustment, the effect is attenuated toward zero.

Energy decarbonization is essential for achieving carbon neutrality. To facilitate the low-carbon transition of the energy system, extensive utilization of low-carbon energy technologies is crucial across various sectors, including primary energy supply, energy processing and conversion, and end-use consumption. This study provides a comprehensive overview of the current status and future trends of key energy utilization technologies from the perspective of low-carbon energy system analysis and optimization. We analyze the application prospects and layout challenges of energy utilization technologies in China’s path toward carbon neutrality from multiple dimensions. Our study highlights the following points: Wind and solar energy, as the fastest-growing renewable energy sources, will continue to play a crucial role in energy supply. The utilization of biomass resources requires systematic evaluation of different conversion technologies, optimizing the allocation of biomass resources across industries. Utilization technologies of secondary energies such as hydrogen and energy storage face challenges related to materials, performance, and lifespan. Overcoming these technical bottlenecks is necessary to achieve low-cost and scalable system applications. Future end-use energy utilization technologies will focus on electrification, which depends on the secure and stable transformation and expansion of electricity distribution systems. Achieving low-carbon transformation in the energy system requires balancing the coordinated development of different energy technologies while addressing non-technical factors such as market dynamics, institutional frameworks, and societal acceptance, ultimately accelerating the decarbonization process.

Objective It is aimed to elucidate the constitutive relationship of bond-slip at the interface between stud steel and shotcrete in the initial support of mining method tunnel. Method Four different working conditions are set by varying the length, diameter, and arrangement of the studs. Push-out tests are conducted on steel-shotcrete short columns with studs on web plate, analyzing failure modes, load-slip characteristics and bearing capacity. Result & Conclusion The failure modes of stud specimens are affected by the number and strength of studs, categorized into tensile splitting and bursting failure. The typical average bond strength-relative slip curve can be divided into four stages: no slip, ascending curve, descending curve, and horizontal residual stage. Laboratory tests demonstrate that the diameter and arrangement of the studs are primary factors affecting the bearing capacity. A bond-slip constitutive model for the interface between stud steel and shotcrete is established based on stress mechanism, validated through both laboratory tests and numerical simulations, showing high accuracy. The research results can provide theoretical support for the design of steel and shotcrete support structures of mining method tunnels.

Abstract Currently, due to limited long-term evidence, there remains some controversy surrounding the recommended postoperative monitoring strategy for primary low-risk gastrointestinal stromal tumors (GISTs). This study recruited a total of 532 patients diagnosed with very low-risk and low-risk GISTs who underwent endoscopic resection from 2015 to 2021, including 460 very low-risk patients and 72 low-risk patients. Descriptive statistical analysis was used to evaluate the clinical and pathological characteristics of GIST patients, and Kaplan–Meier methods were employed for survival analysis. The results showed that the 5-year recurrence-free survival rates for very low-risk and low-risk patients were 98.5% and 95.9%, respectively. The 5-year disease-specific survival rates for both groups were 100%. Additionally, the 5-year overall survival rates were 99.7% for very low-risk patients and 100% for low-risk patients (P = 0.69). Therefore, it is suggested that routine follow-up monitoring, including endoscopic surveillance and imaging, may not be necessary for very low-risk and low-risk GISTs after endoscopic resection.

The access methods for terminal communication on the distribution network side are diverse. However, due to the lack of complete interconnection among various communication methods, the reliability of communication is compromised. Therefore, it is of great significance to realize automatic switching of various communication access modes and multi-network integration of terminals to improve the reliability of distribution communication network. Based on the research on the wide application of mature technologies such as bidirectional forwarding detection (BFD) link bidirectional monitoring, single-pole double-throw isolation, Bypass technology and tunnel technology in communication networks, the key technologies and integration methods to improve the reliability of distribution network were put forward， and the feasibility of the proposed scheme was verified by building a physical simulation environment. The simulation results show that the proposed scheme can be well applied to the complex distribution network, so as to improve its self-healing ability, meet the requirements of physical isolation and service transmission delay, and improve the reliability of the entire distribution network.

Src-homology region 2 domain-containing phosphatase 1 (SHP-1) is considered an anti-inflammatory factor, but its role in chronic obstructive pulmonary disease (COPD) remains unknown. Herein, overexpression of SHP-1 was utilized to explore the functions of SHP-1 in COPD models established by stimulating 16HBE cells with cigarette smoke extracts (CSE) in vitro. SHP-1 was downregulated in both COPD patients and CES-treated 16HBE cells. SHP-1 overexpression reinforced cell viability and significantly prevented CSE-induced cell apoptosis in 16HBE cells. Furthermore, SHP-1 overexpression greatly reversed the CSE-induced migration, epithelial–mesenchymal transition (EMT), and pro-inflammatory factor production in 16HBE cells. In addition, CSE activated the P65 and PI3K/AKT pathways in 16HBE cells, which was also reversed by SHP-1 overexpression. Our findings indicated that SHP-1 alleviated CSE-induced EMT and inflammation in 16HBE cells, suggesting that SHP-1 regulated the development of COPD, and these functions may be linked to the inhibition of the PI3K/AKT pathway.

To address the issue of large data flow of 5G channel for differential protection of distribution lines， a 5G-based scheme for differential protection for distribution lines considering data flow control is proposed. This scheme optimizes transmission strategy， streamlines data formats， and boosts message efficiency by focusing on the transmission frequency， message content， and message types of differential protection data. Furthermore， it enhances the data synchronization scheme for differential protection and refines the logic for saturation discrimination of current transformer （CT）， significantly reducing data flow without compromising the performance of differential protection. Through experiments， the scheme’s viability for practical applications has been confirmed， offering valuable insights for the real-world deployment of 5G-enabled differential protection for distribution networks.

This paper addresses the significant requirements in China's fusion engineering and investigates the preparation technology and performance characterization of high-performance tungsten-based materials used as PFMs. The rolled W–Y2Zr2O7 plate were prepared through sintering and subsequent rolling, and steady-state heat load assessment was conducted under fusion device working conditions. Additionally, the change in mechanical behavior of the rolled plates was investigated across different surfaces. The results also revealed that the rolling plate exhibited a DBTT between RT and 200 °C, with more superior mechanical properties along the RD direction. The flat-plate W–Y2Zr2O7/Cu components demonstrated the ability to withstand 1000 heat load cycles at 10 MW/m2 without cracking, indicating favorable thermo-mechanical performance as PFMs. These findings serve as a valuable reference for the fabrication of tungsten-based materials in fusion engineering.

Abstract Automatic detection of tomato leaf spot disease is essential for control and loss reduction. Traditional algorithms face challenges such as large amount of data, multiple training and heavy computation. In this study, a lightweight shared Siamese neural network method was proposed for tomato leaf disease identification, which is suitable for resource‐limited environments. Experiments on Plant‐Village, Taiwan and Taiwan ++ datasets show that the accuracy fluctuates very little even when trained with only 60% of the data, which confirms the effectiveness of the proposed method in the small data environment. In addition, compared with the mainstream algorithms, it improves the accuracy by up to 35.3%on Plant‐Village and two Taiwan datasets respectively. The experimental results also show that the proposed method still performs well when the data is imbalanced and the sample size is small.

The cellular automaton-lattice Boltzmann method-immersed moving boundary coupled model is established to study the microstructure evolution during the solidification process of 2009Al/SiCp. After several model benchmarks, the natural convection of liquid phase and its effect on particle settlement under different pulling velocities were studied firstly. The results showed that at higher pulling velocity, the particle decelerates downward before contacting with dendrite front due to intensified natural convection. At lower pulling velocity, the particle decelerates gradually until a change in direction and upward movement. As the particle approach the tip of the dendrite, the particle experiences a brief upward movement before contacting the dendritic front. Then the convection induced by particles has an impact on the distribution of solutes in the liquid phase. It has been observed that at lower pulling velocity, there is a significant difference in solute distribution at the solidification front. The primary reason for this phenomenon is the higher solute concentration near the solidification front at lower pulling velocity, rather than the higher liquid phase flowing rate. Finally, our model investigated the microstructure evolution process during the directional solidification process of 2009Al/SiCp at different pulling velocities. The results indicate a good agreement between the simulation results and experiment observations.

ObjectivesTimely and accurate detection of power facilities is very important to ensure the reliability of energy supply. However, a single sensor has certain limitations in the detection of power facilities. Therefore, a multi-scale feature heterogeneous image fusion algorithm based on saliency detection was proposed.MethodsFirstly, the edge guidance network was used to extract the salient target from the infrared image to generate the salient target mask. Secondly, a specific loss function was established in each region, and the salient target mask was used to guide the network for feature extraction. Finally, a directional heterogeneous fusion method based on feature hierarchy was proposed, which combined the depth features of different scales to minimize information loss.ResultsSubjective and objective experiments on the TNO dataset show that the algorithm is superior to other methods in most evaluation indicators, which verifies the effectiveness of its application in the field of power facilities detection.ConclusionsThe algorithm effectively solves the problems of low detection rate and information loss, and makes the detection of power facilities more comprehensive and accurate. It is of great significance to improve the accuracy and diagnostic efficiency of power equipment fault detection.

The computational power network was aimed to deeply integrate arithmetic resources and network resources, achieving efficient utilization of massive data and heterogeneous resources in ubiquitous discrete deployment. To cope with the complicated multicenter computing collaboration and requirements for data privacy and security in computational power networks, federated learning was recognized for its inherent advantages in privacy protection and edge arithmetic resource utilization. However, federated learning in the computational power network environment faced certain difficulties due to the highly heterogeneous and widely distributed arithmetic edge servers. On one hand, the heterogeneity of data among the massive edge servers in the computational power network caused the Non-IID problem, leading to the deviation of the local model update from the global optimum in federated learning. On the other hand, the generation of low-quality local models could significantly affect the training effect due to the differences in data quality among different edge servers. To solve the above problems, a blockchain-based adaptive federated learning framework AWFL-BC (adaptive weight federated learning-blockchain) was proposed. Initially, the data distribution distances of different edge servers were calculated through smart contracts to generate a similarity matrix that guided aggregation. Concurrently, an adaptive weight aggregation algorithm was designed to alleviate the decrease in model performance and stability caused by differences in data quality, thereby improving the accuracy of the model and accelerating model convergence. Finally, the integration of blockchain technology strengthened the security mechanism, effectively preventing poisoning attacks and inference attacks. Comprehensive experiments on three public standard datasets show that AWFL-BC achieves higher model accuracy and faster model convergence compared to state-of-the-art methods.

Energy Internet is crucial for promoting energy transition and revolution, and it has achieved multi-dimensional development in terms of technology, system, and industry. The development of energy Internet involves a wide range of aspects including technology, policy, and business; however, there are relatively few theoretical discussions on the complex coordination relationships within the energy Internet industry. This study identifies the implications of energy Internet from the technology, system, and industry aspects, proposes a technology–mechanism–mode analysis model and a simplified “hanging bell” model for the energy Internet industry, and summarizes the development patterns of China's energy Internet industry as pattern exploration, policy guidance, technology research and development, pattern maturity, policy deficiency, and technology advantage types; practice cases are also summarized. On this basis, the feasible paths for the development of China’s energy Internet industry are analyzed using the “hanging bell” model, focusing on the development cases of the renewable energy, electric vehicle, and hydrogen industries, and specific development paths such as technology enhancement, mechanism enhancement, and mode enhancement are suggested. This study is expected to help understand the development logic of the energy Internet industry and provide references for further exploring the applications and promoting the development scale of the energy Internet.

Due to the limitation of the supersonic flame spraying process method，the axle sprayed with tungsten carbide must ensure the surface roughness and dimensional accuracy through the grinding process，but the weak machining rigidity of the axle and the high wear resistance of the coating lead to the phenomenon of making the cutting tool and shaking the cutting tool in the grinding process，resulting in the unqualified grinding quality of the parts. Firstly，the influence of four fine grinding process parameters on the grinding surface roughness is studied by orthogonal experimental method. Then，the influence of clamping tools and grinding strategies on the cylindricity of parts is studied. Finally，the outer dimensions of the individual sections of the 15 axles are machined and collected and their process capability indices are calculated. The results show that the surface of the part with roughness of Ra0.4 can be obtained by selecting high grinding wheel linear velocity，small depth of cut and moderate grinding wheel axial feed rate and workpiece linear velocity，increasing the clamping length and rigidity of the clamping tool，and adopting the strategy of "coarse grinding-fine grinding-smooth grinding" to ensure that the cylindricity of the outer circle of the part is not more than 0.01 mm. The axle process capability index is not less than 1.33，and the entire grinding process is reliable and stable.

ABSTRACT: Naringenin is a flavonoid with significant anti-inflammatory and antioxidant properties. Mitochondrial dynamics, the mitochondrial respiratory chain, and mtROS are closely related to each other and regulate various biological processes. Ferroptosis is closely related to inflammatory responses and immune function in multiple tissues and organs. However, whether naringenin can alleviate LPS-induced inflammation and immune disorders in the chicken thymus via mtROS/ferroptosis has not been reported. Therefore, in this study, we constructed chicken thymus and MSB-1 cell models of LPS and naringenin based on screening for naringenin concentrations that have positive effects on inflammation and immune function to further investigate the anti-inflammatory, antiferroptosis, and maintenance of the immune function of naringenin. The results showed that 40 mg/kg naringenin alleviated LPS-induced tissue damage, elevated serum inflammatory factors, and decreased serum immune factors. The mechanism by which naringenin attenuates mtROS release by alleviating the imbalance of mitochondrial dynamics and the blockage of the respiratory chain. The effect of naringenin on alleviating LPS-induced lipid peroxidation, disruption of the GSH/GSSG system, iron overload, and GPx4 inactivation, thereby attenuating ferroptosis in thymus tissue, was inhibited by the addition of mtROS activators. In conclusion, naringenin alleviates LPS-induced ferroptosis in chicken thymus by attenuating mtROS release.

ABSTRACT Grasslands represent a major biome on Earth and play a vital role in ecosystem functioning and dynamics. However, owing to the variations among grassland types, the impact of grazing on plant community diversity and stability remains unclear. This study is based on the typical steppe of the Mongolian Plateau. Field sampling and data analysis were combined to qualitatively and quantitatively investigate the structural characteristics, species diversity, and stability of plant communities under varying grazing intensities, that is, four‐season nomadic, two‐season rotational, and sedentary grazing (FSNG, TSRG, and SG, respectively). The results indicated that FSNG pastures exhibited the largest number of plant species while FSNG and TSRG pastures exhibited relatively high importance values for the primary dominant species. Carex duriuscula, Chenopodium glaucum, and Cleistogenes squarrosa were prominent in SG pastures, with C. duriuscula having the largest importance value. The mean height, cover, and aboveground biomass of plant communities in FSNG were significantly higher than those in SG (p TSRG > SG, suggesting that judicious grazing practices could enhance grassland stability. The findings reveal that grazing patterns influence plant community composition and function and that FSNG pastures promote higher species diversity, perennial dominance, and overall stability compared with TSRG and SG pastures.

ObjectiveEstrogen-related receptor γ (ERRγ) is a metabolic regulator with no identified physiological ligands. This study investigates whether calcium is an ERRγ ligand that mediates the effects of glucagon and whether cadmium, which mimics the effects of calcium, disrupts metabolism through ERRγ.MethodHepG2, MCF-7, and HEK293T transfected with ERRγ were treated with glucagon, calcium, cadmium, ERRγ agonist, or ERRγ inhibitor. Cells were then collected for in vitro assays including real-time qPCR, Western blot, ChIP, immunofluorescence, mutational analysis, or gene set enrichment analysis. Molecular dynamics simulations were performed to study mutation sites.ResultsIn HepG2 cells, treatment with glucagon, calcium, or cadmium re-localized ERRγ to the cell nucleus, recruited ERRγ to estrogen-related response elements, induced the expression of ERRγ-regulated genes, and increased extracellular glucose that was blocked by an ERRγ antagonist. In MCF-7 cells and HEK293T cells transfected with ERRγ, similar treatments induced the expression of metabolic genes. Mutational analysis identified S303, T429, and E452 in the ligand-binding domain as potential interaction sites. Molecular dynamics simulations showed that calcium induced changes in ERRγ similar to ERRγ agonist.ConclusionThe results suggest that calcium is a potential ligand of ERRγ that mediates the effects of glucagon and cadmium disrupts metabolism through ERRγ.

Natural zeolite is commonly used as an adsorbent for road dust suppression due to its excellent moisture absorption properties. However, during the formation process, natural zeolite tends to accumulate some zeolite water, organic impurities, and metal cations that occupy the pore channels and cavities, thereby blocking the passage of water molecules and hindering their adsorption. This study aims to improve the weak moisture absorption rate and capacity of dust suppression asphalt mixtures caused by clogged pores and impurities in natural zeolite. To achieve this different concentrations of salt solutions (NH4Cl, NaCl, MgCl2, and CaCl2) are used as modifiers for the treatment of natural zeolite. Scanning electron microscopy and Fourier transform infrared spectroscopy are used to study the interface and functional group changes between the modified zeolite substrate and asphalt mixture. The nitrogen adsorption/desorption curves of asphalt mixtures with different dosages were obtained using a nitrogen adsorption instrument. Based on this, parameters such as the specific surface area and adsorption pore volume of natural zeolite and modified zeolite asphalt mixtures were calculated using the BET and BJH methods. A macroscopic dust suppression test was further conducted to evaluate the dust suppression effect of the modified zeolite asphalt mixture on PM10. The results show that the moisture absorption rate and capacity of the modified zeolite are significantly improved. 20wt.%CaCl2 modification performs the best, and the moisture absorption capacity of the modified zeolite can reach up 10 times that of natural zeolite. Compared to the natural zeolite asphalt mixture, the specific surface area of the modified zeolite asphalt mixture is increased by 16.52%, and the adsorption pore volume is increased by 44.9%. The addition of modified zeolite powder significantly improves the dust suppression performance of the asphalt mixture. When the dosage of modified zeolite powder reaches 80%, the dust suppression effect reaches its peak, with an improvement of 16.34%.

ABSTRACT: Bisphenol A (BPA) is widely applied in plastic products, which will produce immunotoxicity to organisms after spilling in the environment, and become a kind of endocrine disruptor. Selenium (Se) is an essential trace element and plays an important role in maintaining redox homeostasis and immune function. BPA exposure and Se deficiency often occur together in livestock and poultry farming, however, studies on the effects of joint exposure on chicken immunotoxins have not been reported. Therefore, this study established a chicken spleen and MDCC-MSB1 cell model under the combined effects of BPA exposure or/and Se deficiency. Transcriptomic analysis showed that BPA exposure and/or Se deficiency induced differential enrichment of positive regulatory pathways such as NLRP3 inflammatory complex assembly, inflammatory response and cellular oxidative stress response. In the -Se+BPA group, pathological damage was significantly increased, Se content decreased, BPA accumulation, oxidative stress and pyroptosis. Meanwhile, the roles and mechanisms of oxidative stress and pyroptosis in BPA exposure or/and Se deficiency-induced splenic tissue injury were investigated by using IF and qRT-PCR methods. The results showed that joint BPA exposure with Se deficiency resulted in more significant changes in the above outcomes than 1 of them. The oxidative stress inhibitor NAC effectually reduced Se deficiency and BPA-induced oxidative stress and pyroptosis, further suggests that oxidative stress mediated Se deficiency or/and BPA-induced pyroptosis. This study revealed that BPA exposure and Se deficiency induced spleen pyroptosis in chickens via the ROS/NLRP3 pathway. These results provide the theoretical basis for the toxicity of BPA in poultry and enrich the toxicological mechanism of combined exposure of Se deficiency and environmental toxins.

The standardized workflow of computer-aided static guided implant surgery includes preoperative examination, data acquisition, guide design, guide fabrication and surgery. Errors may occur at each step, leading to irreversible cumulative effects and thus impacting the accuracy of implant placement. However, clinicians tend to focus on factors causing errors in surgical operations, ignoring the possibility of irreversible errors in nonstandard guided surgery. Based on the clinical practice of domestic experts and research progress at home and abroad, this paper summarizes the sources of errors in guided implant surgery from the perspectives of preoperative inspection, data collection, guide designing and manufacturing and describes strategies to resolve errors so as to gain expert consensus. Consensus recommendation: 1. Preoperative considerations: the appropriate implant guide type should be selected according to the patient's oral condition before surgery, and a retaining screw-assisted support guide should be selected if necessary. 2. Data acquisition should be standardized as much as possible, including beam CT and extraoral scanning. CBCT performed with the patient’s head fixed and with a small field of view is recommended. For patients with metal prostheses inside the mouth, a registration marker guide should be used, and the ambient temperature and light of the external oral scanner should be reasonably controlled. 3. Optimization of computer-aided design: it is recommended to select a handle-guided planting system and a closed metal sleeve and to register images by overlapping markers. Properly designing the retaining screws, extending the support structure of the guide plate and increasing the length of the guide section are methods to feasibly reduce the incidence of surgical errors. 4. Improving computer-aided production: it is also crucial to set the best printing parameters according to different printing technologies and to choose the most appropriate postprocessing procedures.

Membrane distillation as an emerging heat-driven membrane technology that has attracted a lot of attention in the treatment of high-salty wastewater in recent years. However, the industrialization of membrane distillation has been hampered by membrane fouling. In this study,calcium sulfate scaling was alleviated by introducing pulsed flow field assisted direct contact membrane distillation. The effects of pulse duration and pulse frequency on fouling mitigation and flux enhancement were discussed, respectively. The results showed that under the condition of pulse duration of 0.5 s and pulse frequency of 5 min-1,the membrane distillation flux still maintained more than 70% of the initial flux after 20 h of operation, and the flux intensification ratio was close to 1.3. The morphological analysis of the membrane surface after the experiment also showed that the membrane surface under the optimal pulse condition had less fouling,and the membrane structure could still be clearly observed, while a large amount of calcium sulfate crystals accumulated on the membrane surface under steady flows. Further analysis showed that compared with the steady flow condition, the pulsed flow could promote the homogeneous crystallization of calcium sulfate,and the calcium sulfate crystals could be removed by the formed membrane surface shear force and membrane vibration.

Neuromyelitis optica spectrum disorders (NMOSDs) are most common in anti-aquaporin 4 (AQP4) antibody positive NMOSDs, which are characterized by recurrent episodes of optic neuritis and myelitis, etc., and severely reduce the quality of life. In recent years, new insights into the diagnostic techniques, diagonstic markers, and immunotherapy of anti - AQP4 antibody positive NMOSDs have continued to emerge, and here we focus on synthesizing new advances in the diagnostic techniques and diagonstic markers of anti-AQP4 antibody positive NMOSDs and the most recent recommendations for its treatment, in hopes of summarizing to promote the understanding and application of new diagnostic and therapeutic techniques for anti-AQP4 antibody positive NMOSDs in China, and to explore more possible clinical diagnostic and therapeutic approaches.

Many science, technology and innovation (STI) resources are attached with several different labels. To assign automatically the resulting labels to an interested instance, many approaches with good performance on the benchmark datasets have been proposed for multilabel classification task in the literature. Furthermore, several open-source tools implementing these approaches have also been developed. However, the characteristics of real-world multilabel patent and publication datasets are not completely in line with those of benchmark ones. Therefore, the main purpose of this paper is to evaluate comprehensively seven multi-label classification methods on real-world datasets.

Autophagy, a process that isolates intracellular components and fuses them with lysosomes for degradation, plays an important cytoprotective role by eliminating harmful intracellular substances and maintaining cellular homeostasis. Mesenchymal stem cells (MSCs) are multipotent progenitor cells with the capacity for self-renewal that can give rise to a subset of tissues and therefore have potential in regenerative medicine. However, a variety of variables influence the biological activity of MSCs following their proliferation and transplantation in vitro. The regulation of autophagy in MSCs represents a possible mechanism that influences MSC differentiation properties under the right microenvironment, affecting their regenerative and therapeutic potential. However, a deeper understanding of exactly how autophagy is mobilized to function as well as clarifying the mechanisms by which autophagy promotes MSCs differentiation is still needed. Here, we review the current literature on the complex link between MSCs differentiation and autophagy induced by various extracellular or intracellular stimuli and the molecular targets that influence MSCs lineage determination, which may highlight the potential regulation of autophagy on MSCs’ therapeutic capacity, and provide a broader perspective on the clinical application of MSCs in the treatment of a wide range of diseases.

To clarify the genetic mechanism for phase change of the hydrocarbon in the ultra-deep reservoirs, a case study from the Ordovician hydrocarbon in the Halahatang–Shunbei area (HSA), Tarim Basin, NW China, was conducted. The results show that the Ordovician reservoirs in the HSA are characterized as multi-phase reservoirs with a lateral co-existence of condensates, volatile-oil reservoirs, normal oil reservoirs, and heavy oil reservoirs. From north to south, there are regular variations in the geochemical characteristics of the Ordovician hydrocarbon in different blocks of the HSA, showing an increasing trend in GOR, dryness coefficients, methane contents, methane carbon isotope values, and ethane carbon isotope values, while a decreasing trend in oil densities and wax contents. Because the same Cambrian–Lower Ordovician source for the Ordovician hydrocarbon is observed and the kerogen-cracking gas is dominated in the HSA, the regular variations of the hydrocarbon phases and geochemical characteristics can be interpreted as records of biodegradation and multistage oil–gas filling rather than controlled by the source rock organofacies, oil cracking, and gas invasion. The formation mechanism of the Ordovician multi-phase reservoirs in the HSA suggests that the deep strata of the Tarim Basin hold potential for the exploration of natural gas resources.

Abstract Background The incidence of Talaromyces marneffei (T. marneffei) infection has increased in recent years with the development of organ transplantation and the widespread use of immunosuppressive agents. However, the lack of clinical suspicion leading to delay or misdiagnosis is an important reason for the high mortality rate in non-human immunodeficiency virus (HIV) and non-endemic population. Herein, we report a case of disseminated T. marneffei infection in a non-HIV and non-endemic recipient after renal transplant, who initially presented with skin rashes and subcutaneous nodules and developed gastrointestinal bleeding. Case presentation We describe a 54-year-old renal transplantation recipient presented with scattered rashes, subcutaneous nodules and ulcerations on the head, face, abdomen, and right upper limb. The HIV antibody test was negative. The patient had no obvious symptoms such as fever, cough, etc. Histopathological result of the skin lesion sites showed chronic suppurative inflammation with a large number of fungal spores. Subsequent fungal culture suggested T. marneffei infection. Amphotericin B deoxycholate was given for antifungal treatment, and there was no deterioration in the parameters of liver and kidney function. Unfortunately, the patient was soon diagnosed with gastrointestinal bleeding, gastrointestinal perforation and acute peritonitis. Then he rapidly developed multiple organ dysfunction syndrome and abandoned treatment. Conclusions The risk of fatal gastrointestinal bleeding can be significantly increased in kidney transplant patients with T. marneffei infection because of the long-term side effects of post-transplant medications. Strengthening clinical awareness and using mNGS or mass spectrometry technologies to improve the detection rate and early diagnosis of T. marneffei are crucial for clinical treatment in non-HIV and non-endemic population.

The freckle formation and distribution in large-size directional solidified nickel-based superalloy blades at different withdrawal rates were investigated. The microstructure of freckles was analyzed by optical microscope (OM), and scanning electron microscope (SEM). The crystallographic orientation in the freckle regions was characterized by electron backscattered diffraction (EBSD). The solute segregation patterns on the surface of freckle regions were obtained by X-ray fluorescence (XRF). Numerical simulations for the temperature field were performed to analyze the mushy zone evolution during directional solidification. The experimental results indicated that the root region is prone to form freckles. The freckle chains were only distributed on the outward surface of the root region at low and middle withdrawal rates, and the inward side was free of freckles. When a high withdrawal rate was applied, a few freckles occurred on the inward side of the root region. The number and length of freckle chains increased as the withdrawal rate increased. The XRF results indicated that channel segregation formed on the surface of the root region. The segregation channels predicted by the macrosegregation simulation agreed well with the experimental observation. The concave or inclined solidification interface increased the propensity for freckle formation.

With the progression of big data and cloud computing technologies, there has been an escalating trend in cross-institutional data sharing and interaction within the financial sector. However, the frequent occurrence of privacy breaches poses significant challenges to ensuring data security protection. This necessitates the elevation of requirements for identity authentication across data centers and other technologies related to data security management. The traditional centralized identity authentication schemes are inherently flawed in security and scalability, which hampers their ability to meet the demands of high-frequency cross-center data sharing applications. The blockchain technology has emerged as a potential solution, offering exceptional characteristics such as a distributed nature, tamper-proof properties, traceability, and the ability to achieve multi-party consensus. In practical application scenarios, it is essential to not only protect the privacy of user identities but also to effectively regulate anonymous identities. An anonymous and supervisable cross-data center identity authentication scheme based on blockchain was proposed. This scheme did not necessitate alterations to the original architecture of each data center. Instead, a distributed multi-center consortium blockchain was formed by leveraging more than one server from each data center to establish a data center union. Blockchain technology was utilized to ensure the transparency and reliability of the identity authentication process. Additionally, attribute signatures were employed to safeguard user identity privacy while simultaneously creating an identity mapping table that facilitated the tracking of real user identities. Consequently, the scheme was designed to protect user privacy during cross-data center identity authentication and to enable effective supervision over anonymous identities. A thorough security analysis and the results of experiments demonstrate that the proposed scheme possesses the following attributes: it does not require users to re-register, it exhibits characteristics of unforgeability and traceability, and it is capable of withstanding various network attacks, including replay attacks, denial of service attacks, tampering attacks, and man-in-the-middle attacks.

A 3-RPS parallel leveling mechanism based on the proportional integral (PI) robust sliding mode system is designed to solve the problem of data acquisition inaccuracy caused by vehicle tilting during the robot walking. Firstly, the configuration synthesis is carried out according to the spiral and inverse spiral theory. Then, the dynamic analysis and calculation of the 3-RPS leveling mechanism are carried out to construct its dynamic model. On this basis, the adaptive robust sliding mode algorithm is introduced to optimize and improve the PI controller to improve the stability and adaptive correction ability. The stability of the nonlinear control system is verified by Lyapunov function. Finally, the control error curve is obtained by Matlab/Simulink comparative simulation experiment. The simulation results show that the adaptive correction effect of the PI control system optimized by the robust sliding mode algorithm is remarkable, and the steady-state error of the control is greatly reduced. The research provides a basis for the development of physical prototype of 3-RPS parallel leveling mechanism.

Abstract In recent years, advancements in single-cell and spatial transcriptomics, which are highly regarded developments in the current era, particularly the emerging integration of single-cell and spatiotemporal transcriptomics, have enabled a detailed molecular comprehension of the complex regulation of cell fate. The insights obtained from these methodologies are anticipated to significantly contribute to the development of personalized medicine. Currently, single-cell technology is less frequently utilized for prostate cancer compared with other types of tumors. Starting from the perspective of RNA sequencing technology, this review outlined the significance of single-cell RNA sequencing (scRNA-seq) in prostate cancer research, encompassing preclinical medicine and clinical applications. We summarize the differences between mouse and human prostate cancer as revealed by scRNA-seq studies, as well as a combination of multi-omics methods involving scRNA-seq to highlight the key molecular targets for the diagnosis, treatment, and drug resistance characteristics of prostate cancer. These studies are expected to provide novel insights for the development of immunotherapy and other innovative treatment strategies for castration-resistant prostate cancer. Furthermore, we explore the potential clinical applications stemming from other single-cell technologies in this review, paving the way for future research in precision medicine.

CO2 flooding technology is an effective technical means to enhance the recovery of low permeability reservoirs. After CO2 comes into contact with crude oil， the asphaltene in the system is deposited in a solid form， which causes a certain blockage to the reservoir， but the dissolution improves the flow capacity of the reservoir as a whole at the same time. The damage of CO2 flooding to low permeability reservoirs under different injection methods is different. The organic scale plugging mechanism， reservoir wettability， and CO2-water solution corrosion evaluation experiments were carried out after continuous CO2 injection and CO2-water alternating injection. The variation characteristics of relative permeability curve parameters were evaluated， and the damage of different injection methods of CO2 flooding to low permeability reservoirs was quantitatively characterized. The results show that the organic scale produced by CO2 flooding would block the pore throat of the rock， but on the whole， the dissolution caused by the reaction of CO2 and chlorite is stronger， which makes the recovery of the low permeability reservoirs effectively enhanced. Moreover， the organic scale blockage caused by CO2-water alternating injection is weaker than that caused by continuous CO2 injection， and the dissolution effect is better. The permeability loss rate is lower. It could achieve a better oil displacement effect in pores with a radius of more than 0.2 μm and increase the pore space and flow channel of the rock so that the recovery of low permeability reservoir could be effectively improved.

The ocean and coastal zones are rich in resources and closely related to human survival and development. In recent years, with the rapid growth of the ocean economy, issues such as the reduction of natural coastlines and coastal wetlands, decreased biodiversity, damaged typical ecosystems, frequent coastal disasters, and declining fishery resources have become increasingly apparent. How to enhance the ocean economy from a strategic perspective, promote both development and protection, and ensure the rational use of coastal zones and marine resources is an important issue in the new era. Land and ocean are inseparable components of the ecosystem, and conducting a comprehensive assessment of the resource and environmental carrying capacity of land and sea is an effective way to measure whether regional economic development and ecological environment are coordinated and sustainable. This paper systematically reviews the development process of the carrying capacity concept, compares commonly used methods for evaluating the resource and environmental carrying capacity of marine resources, preliminarily constructs an index system for evaluating the carrying capacity of marine resources based on land-sea coordination, proposes the use of entropy method to determine index weights, and adopts a state space evaluation model or TOPSIS model for comprehensive carrying capacity evaluation. This approach can reflect the interdependence and mutual constraints between land and ocean, and has strong operability. The evaluation results can reflect the spatial differences or temporal changes in the carrying capacity of regional resources and environment, and provide effective reference for the protection and utilization of oceans and coastal zones.

ObjectiveTo investigate the current status and influencing factors of hand hygiene practices among primary healthcare workers， and to provide a reference for improving hand hygiene behavior in primary healthcare institutions.MethodsA self-designed questionnaire was used to conduct a survey among medical staff of seven community health service centers in Jiading District， Shanghai， using a cluster random sampling method. The data collected were subjected to descriptive statistics， reliability and validity tests， correlation analysis， and structural equation model fitting.ResultsA statistical difference in hand hygiene compliance was found among medical staff with varying occupational types and educational levels （P